Anthony Gitter

According to our database, Anthony Gitter authored at least 26 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Chemical Language Model Linker: blending text and molecules with modular adapters.

Yifan Deng, Spencer S. Ericksen, Anthony Gitter

CoRR, 2024

Product Manifold Representations for Learning on Biological Pathways.

Daniel McNeela, Frederic Sala, Anthony Gitter

CoRR, 2024

2023

Evaluating Scalable Supervised Learning for Synthesize-on-Demand Chemical Libraries.

Moayad Alnammi, Shengchao Liu, Spencer S. Ericksen, Gene E. Ananiev, Andrew F. Voter, Song Guo, James L. Keck, F. Michael Hoffmann, Scott A. Wildman, Anthony Gitter

J. Chem. Inf. Model., September, 2023

A Text-guided Protein Design Framework.

Shengchao Liu, Yutao Zhu, Jiarui Lu, Zhao Xu, Weili Nie, Anthony Gitter, Chaowei Xiao, Jian Tang, Hongyu Guo, Anima Anandkumar

CoRR, 2023

2022

Ten quick tips for deep learning in biology.

Benjamin D. Lee, Anthony Gitter, Casey S. Greene, Sebastian Raschka, Finlay Maguire, Alexander J. Titus, Michael D. Kessler, Alexandra J. Lee, Marc G. Chevrette, Paul Allen Stewart, Thiago Britto-Borges, Evan M. Cofer, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Brandon Signal, Benjamin J. Lengerich, Timothy J. Triche Jr., Simina M. Boca

PLoS Comput. Biol., 2022

Graph algorithms for predicting subcellular localization at the pathway level.

Chris S. Magnano, Anthony Gitter

CoRR, 2022

An approachable, flexible and practical machine learning workshop for biologists.

Chris S. Magnano, Fangzhou Mu, Rosemary S. Russ, Milica Cvetkovic, Debora Treu, Anthony Gitter

Bioinform., 2022

2021

Neural networks to learn protein sequence-function relationships from deep mutational scanning data.

Sam Gelman, Sarah A. Fahlberg, Pete Heinzelman, Philip A. Romero, Anthony Gitter

Proc. Natl. Acad. Sci. USA, 2021

Ten Quick Tips for Deep Learning in Biology.

Benjamin D. Lee, Anthony Gitter, Casey S. Greene, Sebastian Raschka, Finlay Maguire, Alexander J. Titus, Michael D. Kessler, Alexandra J. Lee, Marc G. Chevrette, Paul Allen Stewart, Thiago Britto-Borges, Evan M. Cofer, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Beth Signal, Benjamin J. Lengerich, Timothy J. Triche Jr., Simina M. Boca

CoRR, 2021

An Open-Publishing Response to the COVID-19 Infodemic.

Halie M. Rando, Simina M. Boca, Lucy D'Agostino McGowan, Daniel S. Himmelstein, Michael P. Robson, Vincent Rubinetti, Ryan Velazquez, Casey S. Greene, Anthony Gitter

Proceedings of the Workshop on Digital Infrastructures for Scholarly Content Objects (DISCO 2021) co-located with ACM/IEEE Joint Conference on Digital Libraries 2021(JCDL 2021), 2021

2020

Lag penalized weighted correlation for time series clustering.

Thevaa Chandereng, Anthony Gitter

BMC Bioinform., 2020

Inferring signaling pathways with probabilistic programming.

David Merrell, Anthony Gitter

Bioinform., 2020

2019

Predicting kinase inhibitors using bioactivity matrix derived informer sets.

Huikun Zhang, Spencer S. Ericksen, Ching-pei Lee, Gene E. Ananiev, Nathan Wlodarchak, Peng Yu, Julie C. Mitchell, Anthony Gitter, Stephen J. Wright, F. Michael Hoffmann, Scott A. Wildman, Michael A. Newton

PLoS Comput. Biol., 2019

Open collaborative writing with Manubot.

Daniel S. Himmelstein, Vincent Rubinetti, David R. Slochower, Dongbo Hu, Venkat S. Malladi, Casey S. Greene, Anthony Gitter

PLoS Comput. Biol., 2019

Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and Random Forests.

Jesse G. Meyer, Shengchao Liu, Ian J. Miller, Joshua J. Coon, Anthony Gitter

J. Chem. Inf. Model., 2019

Practical Model Selection for Prospective Virtual Screening.

Shengchao Liu, Moayad Alnammi, Spencer S. Ericksen, Andrew F. Voter, Gene E. Ananiev, James L. Keck, F. Michael Hoffmann, Scott A. Wildman, Anthony Gitter

J. Chem. Inf. Model., 2019

Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning.

Shengchao Liu, Yingyu Liang, Anthony Gitter

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Network inference reveals novel connections in pathways regulating growth and defense in the yeast salt response.

Matthew E. MacGilvray, Evgenia Shishkova, Deborah Chasman, Michael Place, Anthony Gitter, Joshua J. Coon, Audrey P. Gasch

PLoS Comput. Biol., 2018

2016

Network-Based Interpretation of Diverse High-Throughput Datasets through the Omics Integrator Software Package.

Nurcan Tuncbag, Sara J. C. Gosline, Amanda J. Kedaigle, Anthony R. Soltis, Anthony Gitter, Ernest Fraenkel

PLoS Comput. Biol., 2016

Unsupervised learning of transcriptional regulatory networks via latent tree graphical models.

Anthony Gitter, Furong Huang, Ragupathyraj Valluvan, Ernest Fraenkel, Animashree Anandkumar

CoRR, 2016

2014

Multitask Learning of Signaling and Regulatory Networks with Application to Studying Human Response to Flu.

Siddhartha Jain, Anthony Gitter, Ziv Bar-Joseph

PLoS Comput. Biol., 2014

Sharing Information to Reconstruct Patient-Specific Pathways in Heterogeneous Diseases.

Anthony Gitter, Alfredo Braunstein, Andrea Pagnani, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Riccardo Zecchina, Ernest Fraenkel

Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

2013

Identifying proteins controlling key disease signaling pathways.

Anthony Gitter, Ziv Bar-Joseph

Bioinform., 2013

2012

A Network-based Approach for Predicting Missing Pathway Interactions.

Saket Navlakha, Anthony Gitter, Ziv Bar-Joseph

PLoS Comput. Biol., 2012

DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data.

Marcel H. Schulz, William E. Devanny, Anthony Gitter, Shan Zhong, Jason Ernst, Ziv Bar-Joseph

BMC Syst. Biol., 2012

2011

A New Computationally Efficient Measure of Topological Redundancy of Biological and Social Networks

Réka Albert, Bhaskar DasGupta, Anthony Gitter, Gamze Gürsoy, Rashmi Hegde, Pradyut Paul, Gowri Sangeetha Sivanathan, Eduardo D. Sontag

CoRR, 2011